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Wake-based ship route estimation in high-resolution SAR images

机译:高分辨率SAR图像中基于尾迹的船舶航路估计

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This paper presents a novel algorithm for wake detection in Synthetic Aperture Radar images of the sea. The algorithm has been conceived as part of a ship traffic monitoring system, in charge of ship detection validation and to estimate ship route features, such as heading and ground speed. In addition, it has been intended to be adequate for inclusion in an automatic procedure without human operator supervision. The algorithm exploits the Radon transform to identify the images ship wake on the basis of the well known theoretical characteristics of the wakes' geometry and components, that are the turbulent wake, the narrow-V wakes, and the Kelvin arms, as well as the typical appearance of such components in Synthetic Aperture Radar images of the sea as bright or dark linear feature. Examples of application to high-resolution X-band Synthetic Aperture Radar products (COSMOSkymed and TerraSAR-X) are reported, both for wake detection and ship route estimation, showing the achieved quality and reliability of wake detection, adequacy to automatic procedures, as well as speed measure accuracy.
机译:本文提出了一种新的算法,用于在海洋的合成孔径雷达图像中进行尾迹检测。该算法已被构想为船舶交通监控系统的一部分,负责船舶检测验证并估算船舶航向,例如航向和地面速度。另外,本发明旨在足以包括在没有人工操作员监督的情况下的自动程序中。该算法利用Radon变换,根据尾流的几何形状和组成部分的众所周知的理论特征(即湍流尾流,窄V形尾流,开尔文臂以及开尔文臂)识别舰船尾流图像。这种组件在海洋的合成孔径雷达图像中的典型外观为亮或暗线性特征。报告了在高分辨率X波段合成孔径雷达产品(COSMOSkymed和TerraSAR-X)中用于航迹检测和船舶航路估计的应用示例,显示了实现的航迹检测的质量和可靠性,以及自动程序的适用性作为速度测量的准确性。

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